Google Kubernetes Engine (GKE) is a leading managed Kubernetes service in the market. GKE is used by several organizations today that are using Google Cloud. As costs rise, customers are shifting their focus to cloud cost optimization. They are seeking more efficient and cost-effective ways to run their workloads by utilizing the best-in-class optimization techniques across products and services.
From the many ways to do cost optimization on GKE, running workloads on low cost compute Spot VMs is a cost-effective way to do so. Spot VMs are idle server machines that get offered at a significant discount. Node pools can be used to deploy workloads across multiple machine types and help reduce costs.
In this blog we’ll discuss how to use four different node pools: E2 standard, N2 standard, N2d standard and N2 standard (spot VMs) to deploy workloads and help reduce costs for running a production workload.
Adding node pools
Create a standard GKE cluster with these node pools. You can also replace these node pools with GPU and other required machine shapes.
